Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Quantum Generative Adversarial Networks For Anomaly Detection In High Energy Physics
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2304.14439.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T23:06:16.986311Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T19:45:01.368941Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 911e8c67-144c-45d3-a5f0-9a5e0e4a1917 · inbound
Quantum algorithms for the simulation of QCD processes in the perturbative regime cites this paper.
Quantum algorithms for the simulation of QCD processes in the perturbative regime Quantum Generative Adversarial Networks For Anomaly Detection In High Energy Physics
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:06:16.986311Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3390bd52-886c-4c50-86f7-1dde77416a4e · inbound
Quantum Feature Amplification Network (QFAN) as An Autoregressive Quantum Generative Model cites this paper.
Quantum Feature Amplification Network (QFAN) as An Autoregressive Quantum Generative Model Quantum Generative Adversarial Networks For Anomaly Detection In High Energy Physics
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T19:03:39.639913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 99cf4d38-2da9-4ad0-bde9-34d7c1929452 · inbound
Quantum Feature Amplification Network (QFAN) as An Autoregressive Quantum Generative Model cites this paper.
Quantum Feature Amplification Network (QFAN) as An Autoregressive Quantum Generative Model Quantum Generative Adversarial Networks For Anomaly Detection In High Energy Physics
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T19:45:01.370651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.